






import argparse
import os
import re


__UpperCamelCase       :		Dict							=    """src/diffusers"""

# Pattern that looks at the indentation in a line.
__UpperCamelCase       :		List[str]							=    re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
__UpperCamelCase       :		Optional[Any]							=    re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
__UpperCamelCase       :		str							=    re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
__UpperCamelCase       :		Dict							=    re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
__UpperCamelCase       :		Dict							=    re.compile(R"""\[([^\]]+)\]""")
def   a_			(   _A	)      ->      Dict:







				"""simple docstring"""
				snake_case__						=  _re_indent.search(UpperCAmelCase_	)
				return "" if search is None else search.groups()[0]
def   a_			(   _A   , _A=""   , _A=None   , _A=None	)      ->      List[str]:







				"""simple docstring"""
				snake_case__						=  0
				snake_case__						=  code.split('\n'	)
				if start_prompt is not None:
								while not lines[index].startswith(UpperCAmelCase_	):
												index += 1
								snake_case__						=  ['\n'.join(lines[:index]	)]
				else:
								snake_case__						=  []

				# We split into blocks until we get to the `end_prompt` (or the end of the block).
				snake_case__						=  [lines[index]]
				index += 1
				while index < len(UpperCAmelCase_	) and (end_prompt is None or not lines[index].startswith(UpperCAmelCase_	)):
								if len(lines[index]	) > 0 and get_indent(lines[index]	) == indent_level:
												if len(UpperCAmelCase_	) > 0 and get_indent(current_block[-1]	).startswith(indent_level + ' '	):
																current_block.append(lines[index]	)
																blocks.append('\n'.join(UpperCAmelCase_	)	)
																if index < len(UpperCAmelCase_	) - 1:
																				snake_case__						=  [lines[index + 1]]
																				index += 1
																else:
																				snake_case__						=  []
												else:
																blocks.append('\n'.join(UpperCAmelCase_	)	)
																snake_case__						=  [lines[index]]
								else:
												current_block.append(lines[index]	)
								index += 1

				# Adds current block if it's nonempty.
				if len(UpperCAmelCase_	) > 0:
								blocks.append('\n'.join(UpperCAmelCase_	)	)

				# Add final block after end_prompt if provided.
				if end_prompt is not None and index < len(UpperCAmelCase_	):
								blocks.append('\n'.join(lines[index:]	)	)

				return blocks
def   a_			(   _A	)      ->      List[Any]:







				"""simple docstring"""

				def _inner(_A	):
								return key(UpperCAmelCase_	).lower().replace('_'   , ''	)

				return _inner
def   a_			(   _A   , _A=None	)      ->      Optional[int]:







				"""simple docstring"""

				# If no key is provided, we use a noop.
				def noop(_A	):
								return x

				if key is None:
								snake_case__						=  noop
				# Constants are all uppercase, they go first.
				snake_case__						=  [obj for obj in objects if key(UpperCAmelCase_	).isupper()]
				# Classes are not all uppercase but start with a capital, they go second.
				snake_case__						=  [obj for obj in objects if key(UpperCAmelCase_	)[0].isupper() and not key(UpperCAmelCase_	).isupper()]
				# Functions begin with a lowercase, they go last.
				snake_case__						=  [obj for obj in objects if not key(UpperCAmelCase_	)[0].isupper()]

				snake_case__						=  ignore_underscore(UpperCAmelCase_	)
				return sorted(UpperCAmelCase_   , key=UpperCAmelCase_	) + sorted(UpperCAmelCase_   , key=UpperCAmelCase_	) + sorted(UpperCAmelCase_   , key=UpperCAmelCase_	)
def   a_			(   _A	)      ->      Union[str, Any]:







				"""simple docstring"""

				# This inner function sort imports between [ ].
				def _replace(_A	):
								snake_case__						=  match.groups()[0]
								if "," not in imports:
												return f'''[{imports}]'''
								snake_case__						=  [part.strip().replace('\"'   , ''	) for part in imports.split(','	)]
								# We will have a final empty element if the line finished with a comma.
								if len(keys[-1]	) == 0:
												snake_case__						=  keys[:-1]
								return "[" + ", ".join([f'''\"{k}\"''' for k in sort_objects(UpperCAmelCase_	)]	) + "]"

				snake_case__						=  import_statement.split('\n'	)
				if len(UpperCAmelCase_	) > 3:
								# Here we have to sort internal imports that are on several lines (one per name):
								# key: [
								#     "object1",
								#     "object2",
								#     ...
								# ]

								# We may have to ignore one or two lines on each side.
								snake_case__						=  2 if lines[1].strip() == '[' else 1
								snake_case__						=  [(i, _re_strip_line.search(UpperCAmelCase_	).groups()[0]) for i, line in enumerate(lines[idx:-idx]	)]
								snake_case__						=  sort_objects(UpperCAmelCase_   , key=lambda _A	: x[1]	)
								snake_case__						=  [lines[x[0] + idx] for x in sorted_indices]
								return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]	)
				elif len(UpperCAmelCase_	) == 3:
								# Here we have to sort internal imports that are on one separate line:
								# key: [
								#     "object1", "object2", ...
								# ]
								if _re_bracket_content.search(lines[1]	) is not None:
												snake_case__						=  _re_bracket_content.sub(_replace   , lines[1]	)
								else:
												snake_case__						=  [part.strip().replace('\"'   , ''	) for part in lines[1].split(','	)]
												# We will have a final empty element if the line finished with a comma.
												if len(keys[-1]	) == 0:
																snake_case__						=  keys[:-1]
												snake_case__						=  get_indent(lines[1]	) + ', '.join([f'''\"{k}\"''' for k in sort_objects(UpperCAmelCase_	)]	)
								return "\n".join(UpperCAmelCase_	)
				else:
								# Finally we have to deal with imports fitting on one line
								snake_case__						=  _re_bracket_content.sub(_replace   , UpperCAmelCase_	)
								return import_statement
def   a_			(   _A   , _A=True	)      ->      Tuple:







				"""simple docstring"""
				with open(UpperCAmelCase_   , 'r'	) as f:
								snake_case__						=  f.read()

				if "_import_structure" not in code:
								return

				# Blocks of indent level 0
				snake_case__						=  split_code_in_indented_blocks(
				    UpperCAmelCase_   , start_prompt='_import_structure = {'   , end_prompt='if TYPE_CHECKING:'	)

				# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
				for block_idx in range(1   , len(UpperCAmelCase_	) - 1	):
								# Check if the block contains some `_import_structure`s thingy to sort.
								snake_case__						=  main_blocks[block_idx]
								snake_case__						=  block.split('\n'	)

								# Get to the start of the imports.
								snake_case__						=  0
								while line_idx < len(UpperCAmelCase_	) and "_import_structure" not in block_lines[line_idx]:
												# Skip dummy import blocks
												if "import dummy" in block_lines[line_idx]:
																snake_case__						=  len(UpperCAmelCase_	)
												else:
																line_idx += 1
								if line_idx >= len(UpperCAmelCase_	):
												continue

								# Ignore beginning and last line: they don't contain anything.
								snake_case__						=  '\n'.join(block_lines[line_idx:-1]	)
								snake_case__						=  get_indent(block_lines[1]	)
								# Slit the internal block into blocks of indent level 1.
								snake_case__						=  split_code_in_indented_blocks(UpperCAmelCase_   , indent_level=UpperCAmelCase_	)
								# We have two categories of import key: list or _import_structure[key].append/extend
								snake_case__						=  _re_direct_key if '_import_structure' in block_lines[0] else _re_indirect_key
								# Grab the keys, but there is a trap: some lines are empty or just comments.
								snake_case__						=  [(pattern.search(UpperCAmelCase_	).groups()[0] if pattern.search(UpperCAmelCase_	) is not None else None) for b in internal_blocks]
								# We only sort the lines with a key.
								snake_case__						=  [(i, key) for i, key in enumerate(UpperCAmelCase_	) if key is not None]
								snake_case__						=  [x[0] for x in sorted(UpperCAmelCase_   , key=lambda _A	: x[1]	)]

								# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
								snake_case__						=  0
								snake_case__						=  []
								for i in range(len(UpperCAmelCase_	)	):
												if keys[i] is None:
																reordered_blocks.append(internal_blocks[i]	)
												else:
																snake_case__						=  sort_objects_in_import(internal_blocks[sorted_indices[count]]	)
																reordered_blocks.append(UpperCAmelCase_	)
																count += 1

        # And we put our main block back together with its first and last line.
								snake_case__						=  '\n'.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]	)

				if code != "\n".join(UpperCAmelCase_	):
								if check_only:
												return True
								else:
												print(f'''Overwriting {file}.'''	)
												with open(UpperCAmelCase_   , 'w'	) as f:
																f.write('\n'.join(UpperCAmelCase_	)	)
def   a_			(   _A=True	)      ->      Tuple:







				"""simple docstring"""
				snake_case__						=  []
				for root, _, files in os.walk(UpperCAmelCase_	):
								if "__init__.py" in files:
												snake_case__						=  sort_imports(os.path.join(UpperCAmelCase_   , '__init__.py'	)   , check_only=UpperCAmelCase_	)
												if result:
																snake_case__						=  [os.path.join(UpperCAmelCase_   , '__init__.py'	)]
				if len(UpperCAmelCase_	) > 0:
								raise ValueError(f'''Would overwrite {len(UpperCAmelCase_	)} files, run `make style`.'''	)


if __name__ == "__main__":
							__UpperCamelCase       :		str							=    argparse.ArgumentParser()
							parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
							__UpperCamelCase       :		int							=    parser.parse_args()

							sort_imports_in_all_inits(check_only=args.check_only)






"""simple docstring"""


from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
      from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


SCREAMING_SNAKE_CASE			  =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			  =  {
    """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json"""
    ),
    """microsoft/deberta-v2-xxlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json"""
    ),
}



class 	__a	(   _lowerCAmelCase						):
       UpperCamelCase_		:       Any				=      '''deberta-v2'''






       def __init__(	self			:				Dict							,   UpperCAmelCase_			:				Optional[int]=128_100							,   UpperCAmelCase_			:				List[str]=1_536							,   UpperCAmelCase_			:				List[str]=24							,   UpperCAmelCase_			:				int=24							,   UpperCAmelCase_			:				int=6_144							,   UpperCAmelCase_			:				Optional[Any]="gelu"							,   UpperCAmelCase_			:				Tuple=0.1							,   UpperCAmelCase_			:				int=0.1							,   UpperCAmelCase_			:				Optional[int]=512							,   UpperCAmelCase_			:				Optional[int]=0							,   UpperCAmelCase_			:				Dict=0.02							,   UpperCAmelCase_			:				Optional[Any]=1e-7							,   UpperCAmelCase_			:				str=False							,   UpperCAmelCase_			:				Tuple=-1							,   UpperCAmelCase_			:				Optional[int]=0							,   UpperCAmelCase_			:				List[str]=True							,   UpperCAmelCase_			:				Any=None							,   UpperCAmelCase_			:				Optional[Any]=0							,   UpperCAmelCase_			:				Optional[Any]="gelu"							,   **UpperCAmelCase_			:				Optional[int]							,   )->	int:







              """simple docstring"""
              super().__init__(**UpperCAmelCase_      )

              UpperCamelCase       			=		hidden_size
              UpperCamelCase       			=		num_hidden_layers
              UpperCamelCase       			=		num_attention_heads
              UpperCamelCase       			=		intermediate_size
              UpperCamelCase       			=		hidden_act
              UpperCamelCase       			=		hidden_dropout_prob
              UpperCamelCase       			=		attention_probs_dropout_prob
              UpperCamelCase       			=		max_position_embeddings
              UpperCamelCase       			=		type_vocab_size
              UpperCamelCase       			=		initializer_range
              UpperCamelCase       			=		relative_attention
              UpperCamelCase       			=		max_relative_positions
              UpperCamelCase       			=		pad_token_id
              UpperCamelCase       			=		position_biased_input

              # Backwards compatibility
              if type(UpperCAmelCase_      ) == str:
                     UpperCamelCase       			=		[x.strip() for x in pos_att_type.lower().split("|"      )]

              UpperCamelCase       			=		pos_att_type
              UpperCamelCase       			=		vocab_size
              UpperCamelCase       			=		layer_norm_eps

              UpperCamelCase       			=		kwargs.get("pooler_hidden_size"							,   UpperCAmelCase_      )
              UpperCamelCase       			=		pooler_dropout
              UpperCamelCase       			=		pooler_hidden_act





class 	__a	(   _lowerCAmelCase						):






       @property
       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[Any]      )->	Mapping[str, Mapping[int, str]]:







              """simple docstring"""
              if self.task == "multiple-choice":
                     UpperCamelCase       			=		{0: "batch", 1: "choice", 2: "sequence"}
              else:
                     UpperCamelCase       			=		{0: "batch", 1: "sequence"}
              if self._config.type_vocab_size > 0:
                     return OrderedDict(
                         [("input_ids", dynamic_axis), ("attention_mask", dynamic_axis), ("token_type_ids", dynamic_axis)]      )
              else:
                     return OrderedDict([("input_ids", dynamic_axis), ("attention_mask", dynamic_axis)]      )






       @property
       def 						_SCREAMING_SNAKE_CASE							(	self			:				Union[str, Any]      )->	int:







              """simple docstring"""
              return 12






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[str]							,   UpperCAmelCase_			:				Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]							,   UpperCAmelCase_			:				int = -1							,   UpperCAmelCase_			:				int = -1							,   UpperCAmelCase_			:				int = -1							,   UpperCAmelCase_			:				bool = False							,   UpperCAmelCase_			:				Optional["TensorType"] = None							,   UpperCAmelCase_			:				int = 3							,   UpperCAmelCase_			:				int = 40							,   UpperCAmelCase_			:				int = 40							,   UpperCAmelCase_			:				"PreTrainedTokenizerBase" = None							,   )->	Mapping[str, Any]:







              """simple docstring"""
              UpperCamelCase       			=		super().generate_dummy_inputs(preprocessor=UpperCAmelCase_							,   framework=UpperCAmelCase_      )
              if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                     del dummy_inputs["token_type_ids"]
              return dummy_inputs





